The National Cancer Institute (NCI) seeks research co-development or licensees for a precision medicine approach that classifies patients’ DLBCL into genetic subtypes that are predictive of treatment response.
The National Cancer Institute (NCI) seeks licensees for an automated digital pathology device which integrates tissue sectioning, staining, and image acquisition. The device is compatible with high-throughput data analyses.
The National Cancer Institute (NCI) seeks co-development partners and/or licensees for polymer-cast inserts for cell histology and microscopy; a system for high throughput three-dimensional (3D) cell culture and screening microscopy.
The National Cancer Institute (NCI) seeks licensees for humanized mice that express the human isomer of mesothelin (MSLN) in the thyroid. NCI created Bl6/TPO mice for studies of mesothelin as a target for research, diagnostic, or therapeutics involving human cancers.
Scientists at The National Cancer Institute (NCI) and The National Institute of Neurological Disorders and Stroke (NINDS) have invented a method of imaging glucose metabolism in vivo using MRI chemical shift imaging (CSI) experiments that relies on a simple, but robust and efficient, post-processing procedure by the higher dimensional analog of singular value decomposition, tensor decomposition. This new technology is denoising software for MRIs that significantly improves the measurement of low-intensity signals without the need for dynamic nuclear polarization (DNP). The scientists seek research co-development partners and/or licensees for their invention.
The National Cancer Institute (NCI) seeks research, co-development, or licensing partners for software that uses computational approaches in cancer diagnosis. NCI researchers have recently developed a computational approach for detecting, quantifying, and mapping Mitotic Hotspots in whole slide images of tumor tissue. This technology has demonstrated high reproducibility that is unaffected by diagnostic skill or fatigue, allowing standardization of tumor cell proliferation assessment across institutions.
National Cancer Institute (NCI) researchers have developed a novel software tool for uniform recording of Mitotic Figure (MF) counts via conventional and/or digital microscopy. With this technology, diagnostic centers can standardize electronic recording, summation, and transcription of clinical data during surgical pathology examination. NCI seeks licensing partners to further develop this application for use in diagnosis and detection of malignant cancers.
The National Cancer Institute (NCI) seeks research licensees for a process that reduces nucleic acid (RNA and DNA) degradation and improves protein integrity in tissue preserved as fixed paraffin embedded specimens.
Researchers from NCI and Rudgers University developed methods of detecting abnormal cells in a sample using the spatial position of one or more genes within the nucleus of a cell, as well as a kit for detecting abnormal cells using such methods. The invention also provides methods of identifying gene markers for abnormal cells using the spatial position of one or more genes within the nucleus of a cell.
The National Cancer Institute seeks parties interested in collaborative research to co-develop diagnostic methods for detection of cancer using spatial genome organization.
The National Cancer Institute (NCI) seeks research co-development opportunities and/or licensees for a new biomedical device for biopsy tissue collection and storage in a sterile, well-defined environment.
Available for licensing is computer software for the automated generation of density maps of macromolecular structures from a series of 2D digital micrographs of frozen hydrated specimens collected using an electron microscope equipped with an ultra-cooled computerized stage.
The National Cancer Institute (NCI) seeks licensing partners for a novel modified insect cell line, Sf9-ET, that can quickly and efficiently determine baculovirus titers during the expression of recombinant proteins from a baculovirus-based protein expression system.